Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Amazon EC2 Spot Instances allow users to leverage unused capacity within the AWS cloud, providing significant savings of up to 90% compared to standard On-Demand pricing. These instances can be utilized for a wide range of applications that are stateless, fault-tolerant, or adaptable, including big data processing, containerized applications, continuous integration/continuous delivery (CI/CD), web hosting, high-performance computing (HPC), and development and testing environments. Their seamless integration with various AWS services—such as Auto Scaling, EMR, ECS, CloudFormation, Data Pipeline, and AWS Batch—enables you to effectively launch and manage applications powered by Spot Instances. Additionally, combining Spot Instances with On-Demand, Reserved Instances (RIs), and Savings Plans allows for enhanced cost efficiency and performance optimization. Given AWS's vast operational capacity, Spot Instances can provide substantial scalability and cost benefits for running large-scale workloads. This flexibility and potential for savings make Spot Instances an attractive choice for businesses looking to optimize their cloud spending.
Description
Introducing Vizru ZEOS, a revolutionary platform that enables the construction and deployment of comprehensive AI applications seamlessly, requiring no coding whatsoever. With its pioneering operating system, ZEOS ensures the stability, performance, and deployment of applications across various cloud environments, setting a new industry standard. Let ZEOS take charge of everything, allowing you to deploy your applications and forget about them, as its robust layer manages all aspects of governance and security. Benefit from an intelligent OS that persistently identifies anomalies, tracks performance, and assesses risk across your applications, all while facilitating rapid regulatory compliance through its built-in feedback and self-learning capabilities. Designed for hyper-scalability, ZEOS supports unlimited growth, enabling the deployment of extensive data applications using an Elastic NO-SQL database. It facilitates high-frequency cross-application processes through distributed workflow orchestration and guarantees real-time responses thanks to its in-memory data management features. Moreover, with its containerized architecture, ZEOS offers incredible portability, allowing dynamic scaling and seamless application transfers between different cloud environments with built-in support for Docker and Kubernetes. Embrace the future of application management with Vizru ZEOS, where complexity is simplified and innovation is at your fingertips.
API Access
Has API
No
API Access
Has API
No
Integrations
AWS Auto Scaling
Yes
AWS Batch
Yes
AWS CloudFormation
Yes
AWS Data Pipeline
Yes
Amazon EC2
Yes
Amazon EMR
Yes
Amazon Elastic Container Service (Amazon ECS)
Yes
Amazon Web Services (AWS)
Yes
DoiT
Yes
Xosphere
Yes
Integrations
AWS Auto Scaling
No
AWS Batch
No
AWS CloudFormation
No
AWS Data Pipeline
No
Amazon EC2
No
Amazon EMR
No
Amazon Elastic Container Service (Amazon ECS)
No
Amazon Web Services (AWS)
No
DoiT
No
Xosphere
No
Pricing Details
$0.01 per user, one-time payment,
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/ec2/spot/
Vendor Details
Company Name
Vizru
Country
United States
Website
vizru.com
Product Features
Big Data
Collaboration
No
Data Blends
Yes
Data Cleansing
Yes
Data Mining
Yes
Data Visualization
No
Data Warehousing
Yes
High Volume Processing
Yes
No-Code Sandbox
No
Predictive Analytics
Yes
Templates
No
Continuous Integration
Build Log
No
Change Management
No
Configuration Management
No
Continuous Delivery
Yes
Continuous Deployment
Yes
Debugging
No
Permission Management
No
Quality Assurance Management
No
Testing Management
No
Product Features
No-Code Development
AI-Assisted Development
No
Business Process Automation
No
Collaborative Development
Yes
Data Aggregation and Publishing
No
Deployment Management
Yes
Drag & Drop
Yes
Integrations Management
Yes
Iteration Management
No
Performance Monitoring
No
Requirements Management
No
Templates
No
Visual Modeling
Yes
Web / Mobile App Development
Yes
Workflow Management
Yes